Basic Qualifications
Bachelor's degree in Engineering, a related specialized area or field is required or equivalent combination of education and relevant work experience plus a minimum of 8 years of relevant experience; or Master's degree plus a minimum of 6 years of relevant experience.
CLEARANCE REQUIREMENTS: : Department of Defense Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.
Responsibilities for this Position
What You'll Own
- Configuration baselines. Establish and maintain baselines for all AI artifacts — code, prompt libraries, model versions, agent configurations, training datasets, ontologies, policies, and documentation. Every artifact has a version, an owner, and a history.
- Release management. Coordinate and control releases across pods. Track what version of what is in which environment. Manage promotion from dev through staging to production.
- Change control. Implement change tracking for all AI artifacts. Every change has a record — what changed, who changed it, who approved it, and why. Support audit and compliance requirements.
- Rollback capability. Ensure every deployment can be reversed. Build and test rollback procedures so that when something goes wrong in production, recovery is a known process, not an improvisation.
- CI/CD pipeline governance. Work with engineers to ensure build, test, and deployment pipelines enforce configuration controls automatically. Controls should be built into the pipeline, not bolted on as a review step.
What You Won't Own
- Application development or AI engineering — you control what ships, not what gets built
- Production operations or incident response — that's the SRE's domain
- Business requirements or backlog prioritization
What Makes This Role Different
- AI configuration management is a new discipline. Prompt libraries, model versions, and agent workflows don't fit neatly into traditional CM tools and processes. You will define how it works.
- In a defense environment, knowing exactly what is in production is not optional. Audit, compliance, and security all depend on configuration accuracy. Your work is the foundation for all of that.
- You will work across multiple pods and enforce consistency without creating bottlenecks. The goal is control that enables velocity, not control that slows it down.
Required Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, Systems Engineering, or a related field, plus 8 years of experience
- Production experience with config